📄 output.3deceptive.90.log
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Simple Bayesian Optimization Algorithm in C++
Version 1.0 (Released in March 1999)
Copyright (c) 1999 Martin Pelikan
Author: Martin Pelikan
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Parameter values from: input.3deceptive.90
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Parameter Values:
Description Identifier Type Value
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Size of the population populationSize long 3800
The number of parents to select (% from population) parentsPercentage float 50.000000
Size of offspring to create (% from population) offspringPercentage float 50.000000
Number of fitness function to use fitnessFunction int 0 (Fitness-3 DECEPTIVE)
Size of the problem (of one dimension) problemSize int 90
Maximal Number of Generations to Perform maxNumberOfGenerations long 80
Maximal Number of Fitness Calls (-1 when unbounded) maxFitnessCalls long -1
Termination threshold for the univ. freq. (-1 is ignore) epsilon float 0.010000
Stop if the optimum was found? stopWhenFoundOptimum char 0 (No)
Percentage of opt. & nonopt. ind. threshold (-1 is ignore) maxOptimal float -1.000000
Maximal number of incoming edges in dep. graph for the BOA maxIncoming int 2
Wait for enter after printing out generation statistics? pause char 0
Output file name outputFile char* output.3deceptive.90
Threshold for guidance (closeness to 0,1) guidanceThreshold float 0.300000
Random Seed randSeed long 123
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Generation : 0
Fitness evaluations : 3800
Fitness (max/avg/min) : (23.899996 16.147211 8.100000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000011100100001001000001010000010111000111001000100010100010001010111100111110010001100111
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Generation : 1
Fitness evaluations : 5700
Fitness (max/avg/min) : (25.399996 17.704263 8.500000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 100100010111000100111001100111010111111100001111000001100010000111000111001000001010011000
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Generation : 2
Fitness evaluations : 7600
Fitness (max/avg/min) : (25.599995 18.937578 11.000001)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 100000000000010000010100000111010100010000100010010111111100001010000100001001001100000111
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Generation : 3
Fitness evaluations : 9500
Fitness (max/avg/min) : (25.799995 20.167919 13.999999)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111100010010100000100010001010000010100000000111100000100111100010001001000010111001111
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Generation : 4
Fitness evaluations : 11400
Fitness (max/avg/min) : (26.799995 21.345603 14.100001)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111001111100010010010010010000000111111010000111111000010001111111100000001111111010000111
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Generation : 5
Fitness evaluations : 13300
Fitness (max/avg/min) : (26.799995 22.536155 16.300001)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111001111100010010010010010000000111111010000111111000010001111111100000001111111010000111
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Generation : 6
Fitness evaluations : 15200
Fitness (max/avg/min) : (27.299997 23.593207 18.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000000000100010111100001111111111000001111000100100111111000000000000111111000000111111010
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Generation : 7
Fitness evaluations : 17100
Fitness (max/avg/min) : (27.699997 24.498207 19.199999)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000111111010111111001010000111010001111111000010111111111111111000000010111010000111111000
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Generation : 8
Fitness evaluations : 19000
Fitness (max/avg/min) : (27.699997 25.287601 21.099997)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000111111010111111001010000111010001111111000010111111111111111000000010111010000111111000
--------------------------------------------------------
Generation : 9
Fitness evaluations : 20900
Fitness (max/avg/min) : (28.099997 25.950838 22.499998)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000111000111000111111111100111111111100111111000000111001111001010000111111111100000111111
--------------------------------------------------------
Generation : 10
Fitness evaluations : 22800
Fitness (max/avg/min) : (28.099997 26.469917 24.299997)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000111000111000111111111100111111111100111111000000111001111001010000111111111100000111111
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Generation : 11
Fitness evaluations : 24700
Fitness (max/avg/min) : (28.399998 26.858548 24.699995)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111111000111000111100100111010111111111111100111111111111111001111111010000111111000
--------------------------------------------------------
Generation : 12
Fitness evaluations : 26600
Fitness (max/avg/min) : (28.499998 27.176364 25.399992)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111001000111111000111111111111000100111000111111111111111000111000111111000001010111111
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